The golden rule of forecasting: Objections, refinements, and enhancements

Autor: Robin M. Hogarth, Emre Soyer
Přispěvatelé: Özyeğin University, Soyer, Emre, Male
Rok vydání: 2015
Předmět:
Zdroj: Journal of Business Research. 68:1702-1704
ISSN: 0148-2963
DOI: 10.1016/j.jbusres.2015.03.029
Popis: Due to copyright restrictions, the access to the full text of this article is only available via subscription. In providing a “golden rule” for forecasting, Armstrong, Green, and Graefe (this issue) raise aspirations that reliable forecasting is possible. They advocate a conservative approach that mainly involves extrapolating from the present. We comment on three issues that relate to their proposed Golden Rule: its scope of application, the importance of highly improbable events, and the challenges of communicating forecasts.
Databáze: OpenAIRE